Lead Mlops Engineer
Core
Lead the design, delivery, and operation of robust, production-grade MLOps/AIOps capabilities to move ML, AI, and GenAI/agent systems from development into reliable production at scale.
Role type
Senior IC MLOps Engineer with technical leadership
Builds
Scalable ML and AI/agent systems, CI/CD pipelines, and cloud infrastructure on GCP
Domain
Artificial Intelligence, Machine Learning, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, Terraform, Docker, Kubernetes, GCP, CI/CD pipeline design, container orchestration, observability, model lifecycle management
Preferred skills
Master's degree in CS/Engineering, experience with MCP-based integrations, incident response
Technologies
GCP, Terraform, Docker, Kubernetes, Cloud Run
Responsibilities
Design and maintain CI/CD pipelines for ML and agent systems; Deploy and operate ML models and AI agents in production; Architect and manage cloud infrastructure solutions; Implement monitoring, logging, and evaluation pipelines; Manage model and agent lifecycle including versioning and retraining; Own production reliability and incident response; Mentor engineers and drive continuous improvement of engineering practices.
Seniority
Senior, hands-on IC with leadership responsibilities